Try Galileo
Announcing Galileo's $45 million Series B fundraising round led by Scale Ventures with Premji Invest, Citi Ventures, Sentinel One, Walden Capital, Factory, Battery Ventures, Amex Ventures, Databricks Ventures and ServiceNow.
October 15 2024

Announcing our Series B, Helping Us Bring Evaluation Intelligence to AI Teams Everywhere

Galileo secures $45M in Series B funding to boost its Evaluation Intelligence Platform, driving AI accuracy and trust for enterprise teams. With backing from leading investors, Galileo is transforming how companies like HP and Twilio evaluate AI performance.

Vikram Chatterji
Vikram ChatterjiCEO
Yash Sheth
Yash ShethCOO
Atindriyo Sanyal
Atindriyo SanyalCTO
Company NewsProduct

Recent Posts

Confidently Ship AI Applications with Databricks and Galileo
October 21 2024

Confidently Ship AI Applications with Databricks and Galileo

Galileo’s native integrations with Databricks makes it simple for enterprises to use Databricks models for LLM evaluation and programmatically build training and evaluation datasets for model improvement.

Integrations
LLM Ops: Views from Across the Stack - Join CxOs from leading LLMOps providers to hear their perspectives on the emerging enterprise GenAI stack, from orchestration to evaluation, inference, retrieval and more.
October 09 2024

LLMOps: Insights from Industry Leaders on the Evolving GenAI Stack

Explore insights from industry leaders on the evolving GenAI stack at Galileo's GenAI Productionize conference. Learn how enterprises are adopting LLMOps, optimizing costs, fine-tuning models, and improving data quality to harness the power of generative AI. Discover key trends and strategies for integrating GenAI into your organization.

Data Quality
How to Integrate IBM watsonx with Galileo to Evaluate your LLM Applications
August 14 2024

How to Integrate IBM watsonx with Galileo to Evaluate your LLM Applications

See how easy it is to leverage Galileo's platform alongside the IBM watsonx SDK to measure RAG performance, detect hallucinations, and quickly iterate through numerous prompts and LLMs.

AI Evaluation
Generative AI and LLM Insights: August 2024
August 07 2024

Generative AI and LLM Insights: August 2024

While many teams have been building LLM applications for over a year now, there is still much to learn about RAG and all types of hallucinations. Check out our roundup of the top generative AI and LLM articles for August 2024.

LLMs
LLM Hallucination Index: RAG Special
July 29 2024

LLM Hallucination Index: RAG Special

The LLM Hallucination Index ranks 22 of the leading models based on their performance in real-world scenarios. We hope this index helps AI builders make informed decisions about which LLM is best suited for their particular use case and need.

HallucinationsAI EvaluationCompany News
Webinar: The Future of Enterprise GenAI Evaluations
June 03 2024

Webinar - The Future of Enterprise GenAI Evaluations

Evaluations are critical for enterprise GenAI development and deployment. Despite this, many teams still rely on 'vibe checks' and manual human evaluation. To productionize trustworthy AI, teams need to rethink how they evaluate their solutions.

AI Evaluation
Webinar – Galileo Protect: Real-Time Hallucination Firewall
May 01 2024

Webinar – Galileo Protect: Real-Time Hallucination Firewall

We’re excited to announce Galileo Protect – an advanced GenAI firewall that intercepts hallucinations, prompt attacks, security threats, and more in real-time! Register for our upcoming webinar to see Protect live in action.

HallucinationsWebinarsProduct
Practical Tips for GenAI System Evaluation
April 25 2024

Practical Tips for GenAI System Evaluation

It’s time to put the science back in data science! Craig Wiley, Sr Dir of AI at Databricks, joined us at GenAI Productionize 2024 to share practical tips and frameworks for evaluating and improving generative AI. Read key takeaways from his session.

AI EvaluationWebinars
Enough Strategy, Let's Build: How to Productionize GenAI
April 17 2024

Enough Strategy, Let's Build: How to Productionize GenAI

At GenAI Productionize 2024, expert practitioners shared their own experiences and mistakes to offer tools and techniques for deploying GenAI at enterprise scale. Read key takeaways from the session on how to productionize generative AI.

Data QualityAI Evaluation
The Enterprise AI Adoption Journey
April 08 2024

The Enterprise AI Adoption Journey

2024 has been a landmark year for generative AI, with enterprises going from experimental proofs of concept to production use cases. At GenAI Productionize 2024, our enterprise executive panel shared lessons learned along their AI adoption journeys.

Webinars
Mastering RAG: How to select an embedding model
March 05 2024

Mastering RAG: How to Select an Embedding Model

Unsure of which embedding model to choose for your Retrieval-Augmented Generation (RAG) system? This blog post dives into the various options available, helping you select the best fit for your specific needs and maximize RAG performance.

RAGAI Evaluation
Mastering RAG: Advanced Chunking Techniques for LLM Applications
February 23 2024

Mastering RAG: Advanced Chunking Techniques for LLM Applications

Learn advanced chunking techniques tailored for Language Model (LLM) applications with our guide on Mastering RAG. Elevate your projects by mastering efficient chunking methods to enhance information processing and generation capabilities.

HallucinationsRAG
Mastering RAG: Improve RAG Performance With 4 Powerful RAG Metrics
February 15 2024

Mastering RAG: Improve RAG Performance With 4 Powerful RAG Metrics

Unlock the potential of RAG analysis with 4 essential metrics to enhance performance and decision-making. Learn how to master RAG methodology for greater effectiveness in project management and strategic planning.

RAGHallucinationsAI Evaluation
Generative AI and LLM Insights: February 2024
February 01 2024

Generative AI and LLM Insights: February 2024

February's AI roundup: Pinterest's ML evolution, NeurIPS 2023 insights, understanding LLM self-attention, cost-effective multi-model alternatives, essential LLM courses, and a safety-focused open dataset catalog. Stay informed in the world of Gen AI!

LLMs
Webinar - Fix Hallucinations in RAG Systems with Pinecone and Galileo
January 29 2024

Webinar - Fix Hallucinations in RAG Systems with Pinecone and Galileo

Watch our webinar with Pinecone on optimizing RAG & chain-based GenAI! Learn strategies to combat hallucinations, leverage vector databases, and enhance RAG analytics for efficient debugging.

WebinarsHallucinationsRAG
Mastering RAG: How To Architect An Enterprise RAG System
January 23 2024

Mastering RAG: How To Architect An Enterprise RAG System

Explore the nuances of crafting an Enterprise RAG System in our blog, "Mastering RAG: Architecting Success." We break down key components to provide users with a solid starting point, fostering clarity and understanding among RAG builders.

RAGLLMs
Mastering RAG: LLM Prompting Techniques For Reducing Hallucinations
January 04 2024

Mastering RAG: LLM Prompting Techniques For Reducing Hallucinations

Dive into our blog for advanced strategies like ThoT, CoN, and CoVe to minimize hallucinations in RAG applications. Explore emotional prompts and ExpertPrompting to enhance LLM performance. Stay ahead in the dynamic RAG landscape with reliable insights for precise language models. Read now for a deep dive into refining LLMs.

HallucinationsRAGLLMs
Prepare for the impact of the EU AI Act with our guide
December 21 2023

Ready for Regulation: Preparing for the EU AI Act

Prepare for the impact of the EU AI Act with our actionable guide. Explore risk categories, conformity assessments, and consequences of non-compliance. Learn practical steps and leverage Galileo's tools for AI compliance. Ensure your systems align with regulatory standards.

AI Regulations
5 Key Takeaways From President Biden’s Executive Order for Trustworthy AI
November 02 2023

5 Key Takeaways From President Biden’s Executive Order For Trustworthy AI

Explore the transformative impact of President Biden's Executive Order on AI, focusing on safety, privacy, and innovation. Discover key takeaways, including the need for robust Red-teaming processes, transparent safety test sharing, and privacy-preserving techniques.

LLMsHallucinationsAI Regulations
ChainPoll: A High Efficacy Method for LLM Hallucination Detection
October 26 2023

Paper - Galileo ChainPoll: A High Efficacy Method for LLM Hallucination Detection

ChainPoll: A High Efficacy Method for LLM Hallucination Detection. ChainPoll leverages Chaining and Polling or Ensembling to help teams better detect LLM hallucinations. Read more at rungalileo.io/blog/chainpoll.

AI EvaluationHallucinationsLLMs
Deeplearning.ai + Galileo - Mitigating LLM Hallucinations
October 26 2023

Webinar - Deeplearning.ai + Galileo - Mitigating LLM Hallucinations

Join in on this workshop where we will showcase some powerful metrics to evaluate the quality of the inputs (data quality, RAG context quality, etc) and outputs (hallucinations) with a focus on both RAG and fine-tuning use cases.

LLMsHallucinations
Hallucinations in LLMs
July 09 2023

Understanding LLM Hallucinations Across Generative Tasks

The creation of human-like text with Natural Language Generation (NLG) has improved recently because of advancements in Transformer-based language models. This has made the text produced by NLG helpful for creating summaries, generating dialogue, or transforming data into text. However, there is a problem: these deep learning systems sometimes make up or "hallucinate" text that was not intended, which can lead to worse performance and disappoint users in real-world situations.

LLMsHallucinations
Galileo LLM Studio enables Pineonce users to identify and visualize the right context to add powered by evaluation metrics such as the hallucination score, so you can power your LLM apps with the right context while engineering your prompts, or for your LLMs in production
June 26 2023

Pinecone + Galileo = get the right context for your prompts

Galileo LLM Studio enables Pineonce users to identify and visualize the right context to add powered by evaluation metrics such as the hallucination score, so you can power your LLM apps with the right context while engineering your prompts, or for your LLMs in production

LLMs
Data Error Potential -- Quantifiably identify the data your models struggle with
April 18 2023

Introducing Data Error Potential (DEP) - New Powerful Metric for Quantifying Data Difficulty for a Model

The Data Error Potential (DEP) is a 0 to 1 score that provides a tool to very quickly sort and bubble up data that is most difficult and worthwhile to explore when digging into your model’s errors. Since DEP is task agnostic, it provides a strong metric to guide exploration of model failure modes.

Data Quality
Galileo Console surfacing errors on ImageNet
March 20 2023

ImageNet Data Errors Discovered Instantly using Galileo

Using Galileo you can surface labeling errors and model errors on the most popular dataset in computer vision. Explore the various error type and simple visualization tools to find troublesome data points.

Data Quality
-
February 14 2023

Webinar - Unpacking The State of Data Quality in Machine Learning

Unpack the findings of our State of Machine Learning Data Quality Report. We have surveyed 500 experienced data professionals to learn what types of data they work with, what data errors they encounter, and what technologies they use.

Data Quality
NLP: Huggingface Transformers NER, understanding BERT with Galileo
February 02 2023

NLP: Huggingface Transformers NER, understanding BERT with Galileo

HuggingFace has proved to be one of the leading hubs for NLP-based models and datasets powering so many applications today. But in the case of NER, as with any other NLP task, the quality of your data can impact how well (or poorly) your models perform during training and post-production.

Data Quality
Building High-Quality Models Using High Quality Data at Scale
December 29 2022

Building High-Quality Models Using High Quality Data at Scale

One neglected aspect of building high-quality models is that it depends on one crucial entity: high quality data. Good quality data in ML is the most significant impediment to seamless ML adoption across the enterprise.

Data Quality
Fixing Your ML Data Blindspots
December 08 2022

Fixing Your ML Data Blindspots

When working on machine learning (ML) projects, the challenges are usually centered around datasets in both the pre-training and post-training phases, with their own respective issues that need to be addressed. Learn about different ML data blind spots and how to address these issues.

Data Quality
How we scaled data quality
December 08 2022

How We Scaled Data Quality at Galileo

At Galileo, we had a simple goal: enable machine learning engineers to easily and quickly surface critical issues in their datasets. This data-centric approach to model development made sense to us but came with a unique challenge that other model-centric ML tools did not face: data is big. Really big. While other tracking tools were logging *meta-*data information such as hyper-parameters, weights, and biases, we were logging embedding and probability vectors, sometimes in the near thousand-dimension space, and sometimes many per input.

Data Quality
Introducing ML Data Intelligence For Unstructured Data
May 03 2022

Introducing ML Data Intelligence For Unstructured Data

“The data I work with is always clean, error free, with no hidden biases” said no one that has ever worked on training and productionizing ML models. Learn what ML data Intelligence is and how Galileo can help with your unstructured data.

Data Quality

Search

All Tags